A novel statistical approach for jointly analyzing RNA-Seq data from F1 reciprocal crosses and inbred lines

Genetics

Volumn 197, Issue 1, 2014, Pages 389-399

  Zou, Fei ^a,b   Sun, Wei ^a,b,c   Crowley, James J ^c   Zhabotynsky, Vasyl ^a,c   Sullivan, Patrick F ^a,b,c   de Villena, Fernando Pardo Manuel ^a,c  

^a University of North Carolina at Chapel Hill   (United States)

^b UNIVERSITY OF NORTH CAROLINA   (United States)

^c UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALLELIC IMBALANCE; ANIMAL TISSUE; ARTICLE; CONTROLLED STUDY; CROSS BREEDING; DIPLOIDY; DNA BASE COMPOSITION; EXON; FEMALE; GENE EXPRESSION REGULATION; GENETIC VARIABILITY; GENOME IMPRINTING; INBRED STRAIN; MALE; MOUSE; MOUSE STRAIN; NONHUMAN; PRIORITY JOURNAL; RNA SEQUENCE; SEQUENCE ANALYSIS; SINGLE NUCLEOTIDE POLYMORPHISM; STOCHASTIC MODEL; X CHROMOSOME; X CHROMOSOME INACTIVATION; ANIMAL; BIOSTATISTICS; CHROMOSOME; GENETICS; HYBRIDIZATION; INBREEDING; PROCEDURES;

ANIMALS; BIOSTATISTICS; CHROMOSOMES, MAMMALIAN; FEMALE; GENETIC VARIATION; HYBRIDIZATION, GENETIC; INBREEDING; MALE; MICE; SEQUENCE ANALYSIS, RNA;

EID: 84901370025     PISSN: 00166731     EISSN: 19432631     Source Type: Journal    
DOI: 10.1534/genetics.113.160119     Document Type: Article

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